Explicit Model Predictive Control with Quantum Encryption

TL;DR

This paper introduces a quantum-encrypted explicit MPC framework for constrained linear systems, leveraging quantum key distribution for secure, efficient control in cloud-based architectures.

Contribution

It presents a novel quantum encryption scheme for explicit MPC, ensuring security and computational efficiency in cloud-based control systems.

Findings

Lower online complexity compared to classical encrypted MPC

Exact recovery of control actions confirmed

Enhanced security through quantum key distribution

Abstract

This paper studies quantum-encrypted explicit MPC for constrained discrete-time linear systems in a cloud-based architecture. A finite-horizon quadratic MPC problem is solved offline to obtain a piecewise-affine controller. Shared quantum keys generated from Bell pairs and protected by quantum key distribution are used to encrypt the online control evaluation between the sensor and actuator. Based on this architecture, we develop a lightweight encrypted explicit MPC protocol, prove exact recovery of the plaintext control action, and characterize its computational efficiency. Numerical results demonstrate lower online complexity than classical encrypted MPC, while security is discussed in terms of confidentiality of plant data and control inputs.